Recent days have seen some nerve-rattling brain dumps about the near future—including five figurative minutes from now—authored by tech luminaries who specialize in AI innovation. 

Medical AI is likely to pass along potentially dangerous misinformation when the distortion comes to the model from a normally trustworthy source using a convincingly authoritative voice. 

Someday the computerization of medicine will be recognized as the game-changing, paradigm-shifting, everything-upending “disruptive innovation” that so many healthcare watchers and stakeholders have been waiting for. “Today,” however, “it’s often just plain disruptive.”

The insurer said Google’s Gemini was part of the new AI’s core development. The system will support customer service interactions by automatically summarizing calls and pulling up relevant information, without the need for manual input. The Google Cloud will be providing the necessary data security to ensure patient privacy, the companies added. 

The self-described “social network for AI agents”—humans can observe but can’t chime in—launched one week ago. But Moltbook already has an awful lot of people fussing and fighting over what it means in the grand scheme of all things AI. 

A growing chorus of academic physicians, policy experts and public health specialists is harmonizing behind the idea of licensing medical GenAI models like they’re doctors or nurses.

Initiatives include radiology image reading, data analytics, remote patient monitoring, speech recognition and more. Most of the federation has adopted the standards of the artificial intelligence platform. 

More than 75% of U.S. nurses have high hopes in generative AI’s promise for improving productivity. But less than half feel prepared to use it effectively. Never mind that almost 60% use it in their personal lives.